Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

voidful
/
phoneme-mt5

Transformers
PyTorch
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use voidful/phoneme-mt5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use voidful/phoneme-mt5 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("voidful/phoneme-mt5")
    model = AutoModelForSeq2SeqLM.from_pretrained("voidful/phoneme-mt5")
  • Notebooks
  • Google Colab
  • Kaggle
phoneme-mt5
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
voidful's picture
voidful
init commit
20ec7f0 almost 4 years ago
  • .gitattributes
    1.17 kB
    initial commit almost 4 years ago
  • config.json
    718 Bytes
    init commit almost 4 years ago
  • detail.json
    113 Bytes
    init commit almost 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch.BFloat16Storage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    600 MB
    xet
    init commit almost 4 years ago